查找
论文解读 - Pretraining-Based Natural Language Generation for Text Summarization
阅读999+次 289 字 ≈ 0.7 min 2019-03-14 论文解读 深度学习, NLP, Summarization
Zhang H, Gong Y, Yan Y, et al. Pretraining-Based Natural Language Generation for Text Summarization[J]. arXiv preprint arXiv:1902.09243, 2019.
Organization: MSRA
BERT 用于文本生成任务的第一篇论文
论文解读 - Deep Communicating Agents for Abstractive Summarization
阅读999+次 1866 字 ≈ 4.7 min 2019-03-22 论文解读 NLP, Summarization, 深度学习
Celikyilmaz A, Bosselut A, He X, et al. Deep communicating agents for abstractive summarization[J]. arXiv preprint arXiv:1803.10357, 2018.
NAACL18, Microsoft, Allen Institute, JD AI
该论文在 CNN / Daily Mail Non-anonymized version 取得 SOTA, 之后多篇论文均与该论文成果进行比较，值得一读。
论文解读 - SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
阅读999+次 1181 字 ≈ 3.0 min 2019-03-25 NLP, 深度学习, Summarization
Nallapati R, Zhai F, Zhou B. Summarunner: A recurrent neural network based sequence model for extractive summarization of documents[C]. Thirty-First AAAI Conference on Artificial Intelligence. 2017.
Summarization 领域具有较大影响力，2017 SOTA, 生成及抽取式都有，baseline之一。